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£73.12

Springer Sequential Monte Carlo Methods - Springer Statistics Series

Name: Sequential Monte Carlo Methods - Springer Statistics Series
Brand: Springer
Price: 73.12 GBP
Availability: InStock

9783030478445

Databases

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Description

An Introduction to Sequential Monte Carlo provides comprehensive coverage of SMC methods and particle filters, essential techniques for sequential data analysis across signal processing, epidemiology, machine learning, population ecology, quantitative finance, and robotics. This Springer Series in Statistics book bridges theory and practice, presenting SMC algorithms within a unified framework and covering underlying mathematical foundations, computational implementation strategies, and practical methodology. Whether you work in scientific research, financial modelling, or engineering applications, this text equips you with both the theoretical understanding and hands-on knowledge needed to apply particle filters effectively to real-world problems involving sequential inference and state estimation.

Key Features

Comprehensive introduction to Sequential Monte Carlo methods and particle filter algorithms published by Springer in their Statistics series.

Covers both theoretical foundations and computational implementation of SMC techniques for sequential data analysis.

Applications across diverse fields including signal processing, epidemiology, machine learning, ecology, quantitative finance, and robotics.

Presents SMC algorithms within a unified general framework to aid understanding and implementation.

Combines methodology with practical guidance for applying particle filters to real-world sequential inference problems.

Product Specifications

Brand: Springer
Model: 9783030478445
Format: hardcover
ASIN: 3030478440
Category: Books > Subjects > Computing & Internet > Databases
Domain: Amazon UK
Release Date: 02 October 2020
Listed Since: 09 April 2020

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Springer Sequential Monte Carlo Methods - Springer Statistics Series

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